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5fd3fc6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | from __future__ import absolute_import, division
import unittest
import numpy as np
import pytest
from PIL import Image
from davisinteractive.utils.visualization import (
_pascal_color_map, draw_scribble, overlay_mask, plot_scribble)
import matplotlib # isort:skip
matplotlib.use('Agg')
import matplotlib.pyplot as plt # isort:skip
class TestPascalColormap(unittest.TestCase):
def test_default(self):
colormap = _pascal_color_map()
assert colormap.shape == (256, 3)
assert colormap.dtype == np.uint8
assert np.all(colormap[0] == [0, 0, 0])
assert np.all(colormap[1] == [128, 0, 0])
assert np.all(colormap[2] == [0, 128, 0])
assert np.all(colormap[3] == [128, 128, 0])
assert np.all(colormap[255] == [224, 224, 192])
def test_normalized(self):
colormap = _pascal_color_map(normalized=True)
assert colormap.shape == (256, 3)
assert colormap.dtype == np.float32
assert np.all(np.isclose(colormap[0], [0, 0, 0]))
assert np.all(np.isclose(colormap[1], [128 / 255, 0, 0]))
assert np.all(np.isclose(colormap[2], [0, 128 / 255, 0]))
assert np.all(np.isclose(colormap[3], [128 / 255, 128 / 255, 0]))
assert np.all(
np.isclose(colormap[255], [224 / 255, 224 / 255, 192 / 255]))
class TestPlotScribble(unittest.TestCase):
def test_plot(self):
scribble = {
'scribbles': [[], [{
'path': [[0, 0], [0, 0.1]],
'object_id': 1,
'start_time': 0,
'end_time': 1000
}, {
'path': [[0, 0], [0, 0.1]],
'object_id': 1,
'start_time': 0,
'end_time': 1000
}], [], [], [{
'path': [[0, 0], [0, 0.1]],
'object_id': 2,
'start_time': 0,
'end_time': 1000
}, {
'path': [[0, 0], [0, 0.1]],
'object_id': 3,
'start_time': 0,
'end_time': 1000
}], [{
'path': [[0, 0], [0, 0.1]],
'object_id': 2,
'start_time': 0,
'end_time': 1000
}], []],
'sequence':
'test',
}
_, ax = plt.subplots(1)
plot_scribble(ax, scribble, 1, output_size=(100, 200))
plot_scribble(ax, scribble, 1)
with pytest.raises(ValueError):
plot_scribble(ax, scribble, 10)
class TestDrawScribble(unittest.TestCase):
def test_draw(self):
scribble = {
'scribbles': [[], [{
'path': [[0, 0], [0, 0.1]],
'object_id': 1,
'start_time': 0,
'end_time': 1000
}, {
'path': [[0, 0], [0, 0.1]],
'object_id': 1,
'start_time': 0,
'end_time': 1000
}], [], [], [{
'path': [[0, 0], [0, 0.1]],
'object_id': 2,
'start_time': 0,
'end_time': 1000
}, {
'path': [[0, 0], [0, 0.1]],
'object_id': 3,
'start_time': 0,
'end_time': 1000
}], [{
'path': [[0, 0], [0, 0.1]],
'object_id': 2,
'start_time': 0,
'end_time': 1000
}], []],
'sequence':
'test',
}
img = Image.fromarray(np.zeros((480, 854, 3), dtype=np.uint8))
img_draw = draw_scribble(img, scribble, 1)
img_draw = draw_scribble(img, scribble, 0)
self.assertEqual(img_draw, img)
class TestOverlay(unittest.TestCase):
def test_shape_mismatch(self):
im = np.random.randint(0, 255, (100, 200, 3), dtype=np.uint8)
ann = np.zeros((100, 201))
with pytest.raises(ValueError):
overlay_mask(im, ann)
def test_wrong_channel_dimensions(self):
im = np.random.randint(0, 255, (100, 200, 4), dtype=np.uint8)
ann = np.zeros((100, 200))
with pytest.raises(ValueError):
overlay_mask(im, ann)
def test_empty_mask(self):
im = np.random.randint(0, 255, (100, 200, 3), dtype=np.uint8)
ann = np.zeros((100, 200))
img = overlay_mask(im, ann)
assert img.shape == im.shape
assert img.dtype == im.dtype
assert np.all(img == im)
def test_full_mask(self):
im = np.random.randint(0, 255, (100, 200, 3), dtype=np.uint8)
ann = np.ones((100, 200))
img = overlay_mask(im, ann, alpha=1.)
assert img.shape == im.shape
assert img.dtype == im.dtype
assert np.all(img == im)
img = overlay_mask(im, ann, alpha=0.)
assert img.shape == im.shape
assert img.dtype == im.dtype
assert np.all(img == [128, 0, 0])
img = overlay_mask(im, ann, alpha=0., colors=[[45, 43, 76], [1, 2, 3]])
assert img.shape == im.shape
assert img.dtype == im.dtype
assert np.all(img == [1, 2, 3])
def test_mask(self):
im = np.random.randint(0, 255, (100, 200, 3), dtype=np.uint8)
ann = np.zeros((100, 200))
ann[50:70, 50:150] = 1
img = overlay_mask(im, ann, alpha=.5)
assert img.shape == im.shape
assert img.dtype == im.dtype
assert np.all(img[ann == 0] == im[ann == 0])
assert not np.all(img[ann != 0] == im[ann != 0])
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